Text Classification
Transformers
ONNX
Safetensors
modernbert
semantic-router
vela
text-embeddings-inference
Instructions to use vllm-sr/Vela-1.0-Encoder-307M-FactCheck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/Vela-1.0-Encoder-307M-FactCheck with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vllm-sr/Vela-1.0-Encoder-307M-FactCheck")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vllm-sr/Vela-1.0-Encoder-307M-FactCheck") model = AutoModelForSequenceClassification.from_pretrained("vllm-sr/Vela-1.0-Encoder-307M-FactCheck", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add Vela Feedback to the model family
Browse files- README.md +1 -1
- publication-manifest.json +1 -1
README.md
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| Role | Models |
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| Understand requests | [Domain](https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M-Domain) 路 Feedback
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| Detect risks | PromptGuard鹿 路 [PII](https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M-PII) 路 Safety鹿 路 Hazard鹿 |
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| Decide when to verify | [FactCheck](https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M-FactCheck) |
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| Retrieve context | Embedding鹿 路 [Reranker](https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M-Reranker) |
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| Role | Models |
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| Understand requests | [Domain](https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M-Domain) 路 [Feedback](https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M-Feedback) 路 [Modality](https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M-Modality) |
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| 69 |
| Detect risks | PromptGuard鹿 路 [PII](https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M-PII) 路 Safety鹿 路 Hazard鹿 |
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| Decide when to verify | [FactCheck](https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M-FactCheck) |
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| Retrieve context | Embedding鹿 路 [Reranker](https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M-Reranker) |
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publication-manifest.json
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"support_files": {
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"LICENSE": "f1e043aceb9aaca635570145a4246cba490f87a907715806ea020d05f45838a9",
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"NOTICE.md": "aad52387a1253774bc9207d04e0ac0740c2adbfced2420b789077e56ffd86f57",
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"README.md": "
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"evaluation/candidate-lock.json": "9962be0623cf4fd96e079e130eb6a7403f61c31f7253796b5408c02a83107145",
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"evaluation/dev-candidate-fp32-for-threshold.json": "f3c1b61420aaacaa15a79cab02406adc68f3d36f3edf86066d58b446f1cffad2",
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"evaluation/dev-candidate-fp32-for-threshold.predictions.jsonl": "fae9b45593d54ae36bdf44411aedfb3f665cc530ba19329a1e6a74f3fae0e9b7",
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"support_files": {
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"LICENSE": "f1e043aceb9aaca635570145a4246cba490f87a907715806ea020d05f45838a9",
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"NOTICE.md": "aad52387a1253774bc9207d04e0ac0740c2adbfced2420b789077e56ffd86f57",
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+
"README.md": "015142a177e209bd06c87997449c0ac20f7b86a7c22f0173e71c1048303d4611",
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"evaluation/candidate-lock.json": "9962be0623cf4fd96e079e130eb6a7403f61c31f7253796b5408c02a83107145",
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"evaluation/dev-candidate-fp32-for-threshold.json": "f3c1b61420aaacaa15a79cab02406adc68f3d36f3edf86066d58b446f1cffad2",
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"evaluation/dev-candidate-fp32-for-threshold.predictions.jsonl": "fae9b45593d54ae36bdf44411aedfb3f665cc530ba19329a1e6a74f3fae0e9b7",
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